Streamline your store’s shrinkage management with real-time detection of suspicious gestures associated with shoplifting

Store employee monitoring a thief using a tablet, with security camera and loss reduction graph.
Store employee monitoring a thief using a tablet, with security camera and loss reduction graph.

Table of Contents

🔍 A new era for loss prevention with AI-based anti-shoplifting technology

Loss prevention is a key concern for retail chain executives, especially in grocery, DIY, or pharmacy sectors. As shopping behaviors evolve and shrinkage rises, traditional security solutions are increasingly showing their limits. This is where suspicious gesture detection technology comes in, leveraging AI-based video analysis—an innovative lever that turns loss prevention into a proactive, intelligent process. By analyzing risky behaviors in real time via dedicated servers and AI algorithms, the solution identifies anomalies.

This anti-shoplifting technology does more than just spot actual theft: it identifies ambiguous or recurring gestures linked to theft. This allows security teams to intervene more effectively, without disrupting the shopping experience for customers. By targeting only relevant situations, detection helps optimize human resources and reduce shrinkage.

For executives, this means better control over losses related to shrinkage and ROI through automation. A technology that combines economic performance and operational efficiency.


📊 Streamlining internal processes and data-driven decision making

Beyond security, suspicious gesture detection contributes to an overall streamlining of operations. By continuously collecting data, smart solutions like those offered by Oxania provide unprecedented visibility into in-store dynamics. Managers can then pinpoint sensitive areas, adjust customer flows, redeploy teams, and improve shelf layouts to reduce theft opportunities.

This not only strengthens loss prevention, but also optimizes labor costs and refines merchandising strategies. Executives have tangible tools to make informed decisions based on real data, not assumptions. Technology becomes a real asset in daily store management.

This data-driven approach also enables the establishment of more relevant security KPIs and allows their evolution to be tracked over time, ensuring agile and adaptive prevention strategy management.


🤝 A better customer experience through discreet and effective security

One of the major strengths of intelligent detection solutions is their discretion. Unlike intrusive methods such as bag searches or constant surveillance by visible guards, gesture analysis technology operates in the background. It enhances security without disrupting the store atmosphere.

For retail chains that focus on customer loyalty, this is a major competitive advantage. By protecting assets without compromising the shopping experience, the solution avoids customer tension and inconvenience, while maintaining constant vigilance over suspicious behavior.

In short, security becomes an invisible yet essential part of the customer journey, supporting the brand image and contributing to a serene environment.


🚀 Oxania: a strategic partner for retail decision-makers

Executives running store networks know it’s no longer enough to react—they need to anticipate. By integrating a solution like Oxania’s, they equip themselves with a strategic tool to transform their loss prevention model toward greater accuracy, agility, and intelligence.

Oxania combines technological expertise in computer vision with deep understanding of retail stakes, offering a solution fine-tuned for the complex environments of supermarkets, pharmacies, and DIY stores. Easily integrated into existing systems, this technology adapts to the specificities of each brand while guaranteeing measurable results.

Thanks to Oxania, anti-shoplifting technology becomes a genuine accelerator for operational performance—a valuable asset to optimize resources, improve customer satisfaction, and secure revenues for the long term.

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